AI Engineer - Internship (Hedge Fund)

We are seeking an exceptional AI Engineer Intern to join a Long/Short Equities team at a leading global hedge fund. This is a 6–12 month internship for a technically strong candidate with deep interest in AI, large language models and software engineering, who can help build practical AI tools for use by investment professionals. This is a highly hands-on role. The successful candidate will be expected to work closely with Portfolio Managers and Analysts to understand their workflows, identify opportunities for AI-enabled tooling, and build applications that improve research, idea generation, information retrieval, portfolio monitoring and decision-making. We are looking for someone who can take ownership across the technology stack — from data ingestion and model orchestration through to backend services and user-facing front-end applications. The role will suit a candidate with strong LLM experience, solid software engineering foundations and the ability to turn ambiguous investment problems into robust, usable tools. Key Responsibilities * Build AI tools and applications for the Long/Short Equities team, from initial concept through to deployment and iteration. * Own the full technology stack for team-specific AI tooling, including front-end interfaces, backend services, data pipelines, model integration and application logic. * Develop user-friendly tools that help Portfolio Managers and Analysts search, summarise, interrogate and extract insights from company filings, earnings transcripts, broker research, news, internal notes and other relevant datasets. * Design and implement LLM-powered workflows, including retrieval-augmented generation, document search, summarisation, classification, entity extraction, question answering and research automation. * Integrate large language models and related AI services into practical applications using appropriate APIs, orchestration frameworks and evaluation techniques. * Build robust data pipelines to collect, clean, structure and maintain structured and unstructured data sources. * Work directly with investment professionals to translate research and investment needs into technical requirements and product features. * Develop and maintain backend services, APIs and databases to support AI-driven applications. * Build intuitive front-end interfaces that allow non-technical users to interact effectively with AI tools. * Evaluate model outputs for accuracy, relevance, consistency and usefulness in an investment context. * Apply strong software engineering practices, including clean code, version control, documentation, testing and maintainability. * Iterate quickly based on user feedback, ensuring tools are reliable, practical and adopted by the team. * Stay current with developments in AI, LLMs, software engineering and investment technology. Candidate Profile We are looking for a high-calibre candidate with a completed or near-completed Master’s degree in a relevant technical, scientific or quantitative discipline, such as Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, Mathematics, Statistics, Physics or a related field. The successful candidate should have: * Strong hands-on experience working with large language models , including practical use of LLM APIs and AI application development. * Solid software engineering experience , with the ability to build reliable, maintainable and user-focused tools. * Strong programming skills, particularly in Python . * Experience building applications across the full stack , including backend services and front-end user interfaces. * Familiarity with APIs, databases, data pipelines and working with structured and unstructured datasets. * Experience with LLM workflows such as retrieval-augmented generation, embeddings, semantic search, prompt engineering, model evaluation and context management . * Ability to take ownership of technical projects end to end, from problem definition and architecture through to implementation and user feedback. * Interest in equities, financial markets and investment research. * Strong analytical and problem-solving skills, particularly in ambiguous or fast-moving environments. * Excellent communication skills, with the ability to work closely with non-technical investment professionals. * High attention to detail, intellectual curiosity and a practical, delivery-focused mindset. Desirable Skills * Experience with frameworks and tools such as OpenAI, Anthropic, LangChain, LlamaIndex, Hugging Face or similar. * Experience with React, TypeScript, JavaScript, FastAPI, Flask, Django or similar front-end and backend technologies. * Knowledge of vector databases, embeddings, semantic search and document retrieval systems. * Experience with SQL and database design. * Familiarity with Git, Docker, CI/CD, testing frameworks and cloud platforms. * Experience building internal tools, dashboards, workflow automation or productivity applications. * Exposure to financial datasets, company filings, earnings calls, broker research, market data or investment research workflows. * Prior internship, project or work experience in finance, fintech, AI, data science or software engineering. What We Offer * Direct exposure to a high-performing Long/Short Equities investment team. * The opportunity to build AI tools that are used in a real investment environment. * Significant ownership of technical projects and the team’s AI tooling stack. * Hands-on experience applying LLMs and software engineering to live investment problems. * Close collaboration with experienced Portfolio Managers and Analysts. * A steep learning curve across AI, equities, software engineering and investment decision-making. * A high-calibre, intellectually rigorous and entrepreneurial working environment.